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» Learning How to Propagate Using Random Probing
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AMAI
1999
Springer
13 years 8 months ago
Maintenance scheduling problems as benchmarks for constraint algorithms
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...
Daniel Frost, Rina Dechter
RECOMB
2002
Springer
14 years 9 months ago
Revealing protein structures: a new method for mapping antibody epitopes
A recent idea for determining the three-dimensional structure of a protein uses antibody recognition of surface structure and random peptide libraries to map antibody epitope comb...
Brendan Mumey, Brian W. Bailey, Edward A. Dratz
SIGMETRICS
2008
ACM
131views Hardware» more  SIGMETRICS 2008»
13 years 9 months ago
On the design of hybrid peer-to-peer systems
In this paper, we consider hybrid peer-to-peer systems where users form an unstructured peer-to-peer network with the purpose of assisting a server in the distribution of data. We...
Stratis Ioannidis, Peter Marbach
ICML
2007
IEEE
14 years 9 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
RECOMB
2007
Springer
14 years 9 months ago
Minimizing and Learning Energy Functions for Side-Chain Prediction
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
Chen Yanover, Ora Schueler-Furman, Yair Weiss